2022
DOI: 10.55003/cast.2022.03.23.009
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Multi-task Autonomous Driving Based on Improved Convolutional Neural Network and ST Loss in MTS and MOD Modes

Abstract: Multi-task autonomous driving is a research hotspot in autonomous driving. However, existing research has only achieved single-task or dual-task autonomous driving. Therefore, we propose two novel multi-task approaches: a multi-task shared model mode (MTS) and a multi-object dual-model mode (MOD). In addition, existing neural network architectures are underperforming in multi-task autonomous driving, so we propose a novel neural network architecture - MT-ResNet26. Moreover, to alleviate the problem of noise an… Show more

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